Senior Data Engineer

About This Opportunity

We are representing a confidential sports media and gaming organization seeking a Senior Data Engineer to join their Data Team in London. This is a hybrid role requiring three days per week in the office (Tuesday through Thursday). Our client operates at significant scale, serving millions of users with real-time data systems that power their analytics, AI/ML workloads, and business intelligence.

As Senior Data Engineer, you will lead architectural discussions, own the design of business-critical data solutions, and mentor other engineers while building complex, scalable systems. This role combines hands-on technical leadership with strategic thinking, using automation and artificial intelligence to improve efficiency and decision-making across the organization.

Responsibilities

• Lead the design and delivery of robust data pipelines using GCP services including BigQuery, Dataflow, Pub/Sub, and Cloud Storage, integrating data from various sources with real-time processing capabilities
• Own the design of data models and databases that support business analytics, using dimensional data-modelling principles and GCP technologies such as Bigtable, Spanner, or Firestore
• Lead automation of data workflows and optimization of storage and processing costs within GCP, using tools such as Cloud Composer for orchestration
• Ensure data security by implementing GCP security practices, managing access controls, and complying with data-governance policies
• Lead critical system-design and architectural decisions for scalable batch and real-time workloads
• Partner with cross-functional teams to translate complex or ambiguous business needs into effective data solutions
• Mentor engineers, review technical designs, and foster a culture of continuous learning and engineering excellence
• Lead resolution of critical pipeline failures and data-quality incidents, performing fault analysis and implementing preventative improvements
• Own improvements to reliability, performance, and cost-effectiveness of data systems
• Design and maintain robust, secure integrations with core internal systems and third-party platforms
• Define monitoring and alerting standards to ensure high system reliability and minimal downtime

What We're Looking For

• Significant experience in data engineering or data warehousing with large-scale, complex datasets
• Advanced SQL and Python skills, with experience using AI-assisted development tools appropriately
• Strong knowledge of data-modelling techniques
• Deep experience with cloud data services, ideally within the GCP ecosystem (Dataflow, Pub/Sub, BigQuery, Vertex AI)
• Proven experience designing and implementing robust ELT pipelines, including real-time and large-scale batch processing
• Proven ability to deploy and maintain data infrastructure using Infrastructure as Code principles and tools such as Terraform
• Experience with Airflow environment management and Docker
• Experience contributing to an AI roadmap and evaluating AI tooling, including coding agents, for the development lifecycle
• Ability to explain complex technical concepts clearly to both technical and non-technical stakeholders
• Demonstrable experience applying data-governance, privacy, and security best practices in a regulated environment
• Proactive and curious approach with ability to anticipate and resolve system inefficiencies
• Ability to lead cross-functional technical work and translate ambiguous requirements into robust solutions
• Track record of taking end-to-end ownership for quality, reliability, and performance of business-critical data solutions
• Experience mentoring engineers and influencing technical standards across a team

How We Work With You

Candidates apply directly through Get A Job.ai. Our talent team will conduct an initial screening to understand your background and career goals. Once we confirm alignment, we will submit your profile to our client for consideration. Please do not contact the client directly—all communication regarding this opportunity should go through Get A Job.ai to ensure a smooth and professional process.

Pay

Compensation details will be discussed during the screening process based on experience level and market conditions.

Equal Opportunity

Get A Job.ai is committed to inclusive recruiting practices. We welcome applications from candidates of all backgrounds and work to ensure fair consideration throughout our process.